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Supervised Classification on kc1

Supervised Classification on kc1

Task 4622 Supervised Classification kc1 213 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.8122, kappa: 0.191, kb_relative_information_score: -119.934, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8098, predictive_accuracy: 0.8465, prior_entropy: 0.622, recall: 0.8465, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.9369, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.8175, kappa: 0.2157, kb_relative_information_score: -9396.3553, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8168, predictive_accuracy: 0.8498, prior_entropy: 0.622, recall: 0.8498, relative_absolute_error: 1.0841, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.9648, scimark_benchmark: 972.587, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.8189, kappa: 0.2294, kb_relative_information_score: 597.6182, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8141, predictive_accuracy: 0.8467, prior_entropy: 0.622, recall: 0.8467, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.9335, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.7869, kappa: 0.0573, kb_relative_information_score: 5942.6152, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8164, predictive_accuracy: 0.848, prior_entropy: 0.622, recall: 0.848, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.0785, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.8335, kappa: 0.292, kb_relative_information_score: 1753.1328, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.834, predictive_accuracy: 0.8586, prior_entropy: 0.622, recall: 0.8586, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.8986, scimark_benchmark: 938.191, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8304, kappa: 0.2696, kb_relative_information_score: 1552.9765, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8385, predictive_accuracy: 0.8612, prior_entropy: 0.622, recall: 0.8612, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.9025, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.8215, kappa: 0.2355, kb_relative_information_score: 351.9157, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8206, predictive_accuracy: 0.8514, prior_entropy: 0.622, recall: 0.8514, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.9653, scimark_benchmark: 944.1067, usercpu_time_millis: 1280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.7869, kappa: 0.0573, kb_relative_information_score: 5942.6152, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8164, predictive_accuracy: 0.848, prior_entropy: 0.622, recall: 0.848, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.0785, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.7869, kappa: 0.0573, kb_relative_information_score: 5942.6152, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8164, predictive_accuracy: 0.848, prior_entropy: 0.622, recall: 0.848, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.0785, scimark_benchmark: 936.3373, usercpu_time_millis: 1630, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 932.438, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 974.2014, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 941.3847, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 947.1781, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.8441, kappa: 0.3477, kb_relative_information_score: 2535.9276, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8423, predictive_accuracy: 0.8628, prior_entropy: 0.622, recall: 0.8628, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.32, root_relative_squared_error: 0.8853, scimark_benchmark: 943.1009, usercpu_time_millis: 1090, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.8122, kappa: 0.191, kb_relative_information_score: -119.934, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8098, predictive_accuracy: 0.8465, prior_entropy: 0.622, recall: 0.8465, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.9369, scimark_benchmark: 942.2392, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.8175, kappa: 0.2157, kb_relative_information_score: -9396.3553, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8168, predictive_accuracy: 0.8498, prior_entropy: 0.622, recall: 0.8498, relative_absolute_error: 1.0841, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.9648, scimark_benchmark: 901.6243, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.8189, kappa: 0.2294, kb_relative_information_score: 597.6182, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8141, predictive_accuracy: 0.8467, prior_entropy: 0.622, recall: 0.8467, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.9335, scimark_benchmark: 938.1282, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.7869, kappa: 0.0573, kb_relative_information_score: 5942.6152, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8164, predictive_accuracy: 0.848, prior_entropy: 0.622, recall: 0.848, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.0785, scimark_benchmark: 930.404, usercpu_time_millis: 1950, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.7869, kappa: 0.0573, kb_relative_information_score: 5942.6152, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8164, predictive_accuracy: 0.848, prior_entropy: 0.622, recall: 0.848, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.0785, scimark_benchmark: 906.0979, usercpu_time_millis: 1880, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.7433, kappa: 0.2774, kb_relative_information_score: -8880.9478, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8385, predictive_accuracy: 0.7043, prior_entropy: 0.622, recall: 0.7043, relative_absolute_error: 1.1222, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.4318, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 903.2737, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 938.1282, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.8335, kappa: 0.292, kb_relative_information_score: 1753.1328, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.834, predictive_accuracy: 0.8586, prior_entropy: 0.622, recall: 0.8586, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.8986, scimark_benchmark: 941.4991, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8304, kappa: 0.2696, kb_relative_information_score: 1552.9765, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8385, predictive_accuracy: 0.8612, prior_entropy: 0.622, recall: 0.8612, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.9025, scimark_benchmark: 930.404, usercpu_time_millis: 54950, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 53990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 945.6228, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.8441, kappa: 0.3477, kb_relative_information_score: 2535.9276, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8423, predictive_accuracy: 0.8628, prior_entropy: 0.622, recall: 0.8628, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.32, root_relative_squared_error: 0.8853, scimark_benchmark: 1051.249, usercpu_time_millis: 2030, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.8305, kappa: 0.2671, kb_relative_information_score: 2034.4783, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8437, predictive_accuracy: 0.8632, prior_entropy: 0.622, recall: 0.8632, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.319, root_relative_squared_error: 0.8823, scimark_benchmark: 870.2101, usercpu_time_millis: 30710, usercpu_time_millis_testing: 11760, usercpu_time_millis_training: 18950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8308, kappa: 0.2684, kb_relative_information_score: 1981.6637, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8438, predictive_accuracy: 0.8633, prior_entropy: 0.622, recall: 0.8633, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.8843, scimark_benchmark: 919.9068, usercpu_time_millis: 15040, usercpu_time_millis_testing: 6930, usercpu_time_millis_training: 8110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.83, kappa: 0.2648, kb_relative_information_score: 2022.2934, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8435, predictive_accuracy: 0.863, prior_entropy: 0.622, recall: 0.863, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.8842, scimark_benchmark: 937.5683, usercpu_time_millis: 4410, usercpu_time_millis_testing: 890, usercpu_time_millis_training: 3520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.8313, kappa: 0.2714, kb_relative_information_score: 2007.7158, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8435, predictive_accuracy: 0.8633, prior_entropy: 0.622, recall: 0.8633, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.8867, scimark_benchmark: 922.613, usercpu_time_millis: 2310, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.8269, kappa: 0.2531, kb_relative_information_score: 1913.0104, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8352, predictive_accuracy: 0.8593, prior_entropy: 0.622, recall: 0.8593, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.8933, scimark_benchmark: 920.5394, usercpu_time_millis: 1140, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.8135, kappa: 0.1974, kb_relative_information_score: -1530.3246, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8113, predictive_accuracy: 0.8471, prior_entropy: 0.622, recall: 0.8471, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.337, root_relative_squared_error: 0.9322, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.8135, kappa: 0.1974, kb_relative_information_score: -1530.3246, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8113, predictive_accuracy: 0.8471, prior_entropy: 0.622, recall: 0.8471, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.337, root_relative_squared_error: 0.9322, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.8135, kappa: 0.1974, kb_relative_information_score: -1530.3246, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8113, predictive_accuracy: 0.8471, prior_entropy: 0.622, recall: 0.8471, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.337, root_relative_squared_error: 0.9322, scimark_benchmark: 936.7184, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.8135, kappa: 0.1974, kb_relative_information_score: -1530.3246, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8113, predictive_accuracy: 0.8471, prior_entropy: 0.622, recall: 0.8471, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.337, root_relative_squared_error: 0.9322, scimark_benchmark: 941.9549, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.8135, kappa: 0.1974, kb_relative_information_score: -1530.3246, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8113, predictive_accuracy: 0.8471, prior_entropy: 0.622, recall: 0.8471, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.337, root_relative_squared_error: 0.9322, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7982, kappa: 0.1113, kb_relative_information_score: 5824.7834, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8207, predictive_accuracy: 0.8506, prior_entropy: 0.622, recall: 0.8506, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9975, scimark_benchmark: 929.0296, usercpu_time_millis: 760, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7799, kappa: 0.0247, kb_relative_information_score: 5754.0541, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8019, predictive_accuracy: 0.8459, prior_entropy: 0.622, recall: 0.8459, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3742, root_relative_squared_error: 1.0351, scimark_benchmark: 936.1714, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.7793, kappa: 0.0221, kb_relative_information_score: 5515.735, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.7974, predictive_accuracy: 0.8457, prior_entropy: 0.622, recall: 0.8457, relative_absolute_error: 0.603, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3775, root_relative_squared_error: 1.0442, scimark_benchmark: 929.0296, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.8234, kappa: 0.274, kb_relative_information_score: 2286.2738, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8155, predictive_accuracy: 0.8393, prior_entropy: 0.622, recall: 0.8393, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3677, root_relative_squared_error: 1.0171, scimark_benchmark: 922.8232, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.7758, kappa: 0.0057, kb_relative_information_score: -889.7537, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.7873, predictive_accuracy: 0.8453, prior_entropy: 0.622, recall: 0.8453, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9252, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.8122, kappa: 0.191, kb_relative_information_score: -119.934, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8098, predictive_accuracy: 0.8465, prior_entropy: 0.622, recall: 0.8465, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.9369, scimark_benchmark: 934.929, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.8175, kappa: 0.2157, kb_relative_information_score: -9396.3553, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8168, predictive_accuracy: 0.8498, prior_entropy: 0.622, recall: 0.8498, relative_absolute_error: 1.0841, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.9648, scimark_benchmark: 934.929, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.8189, kappa: 0.2294, kb_relative_information_score: 597.6182, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8141, predictive_accuracy: 0.8467, prior_entropy: 0.622, recall: 0.8467, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.9335, scimark_benchmark: 845.538, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.7869, kappa: 0.0573, kb_relative_information_score: 5942.6152, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8164, predictive_accuracy: 0.848, prior_entropy: 0.622, recall: 0.848, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.0785, scimark_benchmark: 949.7766, usercpu_time_millis: 1830, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 1250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.7433, kappa: 0.2774, kb_relative_information_score: -8880.9478, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8385, predictive_accuracy: 0.7043, prior_entropy: 0.622, recall: 0.7043, relative_absolute_error: 1.1222, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.4318, scimark_benchmark: 922.5036, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 922.5036, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.7869, kappa: 0.0573, kb_relative_information_score: 5942.6152, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8164, predictive_accuracy: 0.848, prior_entropy: 0.622, recall: 0.848, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.0785, scimark_benchmark: 1309.5873, usercpu_time_millis: 2310, usercpu_time_millis_testing: 1100, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.7433, kappa: 0.2774, kb_relative_information_score: -8880.9478, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8385, predictive_accuracy: 0.7043, prior_entropy: 0.622, recall: 0.7043, relative_absolute_error: 1.1222, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.4318, scimark_benchmark: 1362.9924, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 1313.8988, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 1362.9924, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.7433, kappa: 0.2774, kb_relative_information_score: -8880.9478, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8385, predictive_accuracy: 0.7043, prior_entropy: 0.622, recall: 0.7043, relative_absolute_error: 1.1222, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.4318, scimark_benchmark: 1303.5632, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 1286.2211, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 1333.202, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 1333.202, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8304, kappa: 0.2696, kb_relative_information_score: 1552.9768, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8385, predictive_accuracy: 0.8612, prior_entropy: 0.622, recall: 0.8612, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.9025, scimark_benchmark: 1351.3088, usercpu_time_millis: 27400, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 26580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 1317.5857, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.7433, kappa: 0.2774, kb_relative_information_score: -8880.9478, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8385, predictive_accuracy: 0.7043, prior_entropy: 0.622, recall: 0.7043, relative_absolute_error: 1.1222, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.4318, scimark_benchmark: 1318.4315, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 1324.7884, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8304, kappa: 0.2696, kb_relative_information_score: 1552.9768, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8385, predictive_accuracy: 0.8612, prior_entropy: 0.622, recall: 0.8612, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.9025, scimark_benchmark: 1329.8008, usercpu_time_millis: 24240, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 23440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 1321.8321, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 1331.4379, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.8122, kappa: 0.191, kb_relative_information_score: -119.934, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8098, predictive_accuracy: 0.8465, prior_entropy: 0.622, recall: 0.8465, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.9369, scimark_benchmark: 1306.9281, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6358, f_measure: 0.8263, kappa: 0.2666, kb_relative_information_score: 4323.1025, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8217, predictive_accuracy: 0.85, prior_entropy: 0.622, recall: 0.85, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3637, root_relative_squared_error: 1.006, scimark_benchmark: 1307.9497, usercpu_time_millis: 370, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.7433, kappa: 0.2774, kb_relative_information_score: -8880.9478, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8385, predictive_accuracy: 0.7043, prior_entropy: 0.622, recall: 0.7043, relative_absolute_error: 1.1222, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.4318, scimark_benchmark: 1306.9281, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 1313.11, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.8215, kappa: 0.2355, kb_relative_information_score: 351.9157, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8206, predictive_accuracy: 0.8514, prior_entropy: 0.622, recall: 0.8514, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.9653, scimark_benchmark: 1313.5633, usercpu_time_millis: 1460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.8441, kappa: 0.3477, kb_relative_information_score: 2535.9276, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8423, predictive_accuracy: 0.8628, prior_entropy: 0.622, recall: 0.8628, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.32, root_relative_squared_error: 0.8853, scimark_benchmark: 1315.9287, usercpu_time_millis: 920, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.8259, kappa: 0.2525, kb_relative_information_score: 1556.189, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8289, predictive_accuracy: 0.8561, prior_entropy: 0.622, recall: 0.8561, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.9058, scimark_benchmark: 1367.3264, usercpu_time_millis: 3700, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.8189, kappa: 0.2294, kb_relative_information_score: 597.6182, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8141, predictive_accuracy: 0.8467, prior_entropy: 0.622, recall: 0.8467, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.9335, scimark_benchmark: 1321.4771, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.8262, kappa: 0.2505, kb_relative_information_score: 1303.4787, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8333, predictive_accuracy: 0.8584, prior_entropy: 0.622, recall: 0.8584, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.9058, scimark_benchmark: 1324.5762, usercpu_time_millis: 1530, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.8335, kappa: 0.292, kb_relative_information_score: 1753.1328, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.834, predictive_accuracy: 0.8586, prior_entropy: 0.622, recall: 0.8586, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.8986, scimark_benchmark: 1331.0047, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.8175, kappa: 0.2157, kb_relative_information_score: -9396.3553, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8168, predictive_accuracy: 0.8498, prior_entropy: 0.622, recall: 0.8498, relative_absolute_error: 1.0841, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.9648, scimark_benchmark: 1253.0071, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.7869, kappa: 0.0573, kb_relative_information_score: 5942.6152, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8164, predictive_accuracy: 0.848, prior_entropy: 0.622, recall: 0.848, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.0785, scimark_benchmark: 1350.4825, usercpu_time_millis: 3040, usercpu_time_millis_testing: 1120, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.82, kappa: 0.2337, kb_relative_information_score: 1404.997, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8156, predictive_accuracy: 0.8476, prior_entropy: 0.622, recall: 0.8476, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.9328, scimark_benchmark: 1340.5125, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.7869, kappa: 0.0573, kb_relative_information_score: 5942.6152, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2616, number_of_instances: 21090, precision: 0.8164, predictive_accuracy: 0.848, prior_entropy: 0.622, recall: 0.848, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.0785, scimark_benchmark: 1350.007, usercpu_time_millis: 2320, usercpu_time_millis_testing: 1030, usercpu_time_millis_training: 1290,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs